Global Patent Index - EP 3726460 A1

EP 3726460 A1 20201021 - AUTONOMOUS SEGMENTATION OF CONTRAST FILLED CORONARY ARTERY VESSELS ON COMPUTED TOMOGRAPHY IMAGES

Title (en)

AUTONOMOUS SEGMENTATION OF CONTRAST FILLED CORONARY ARTERY VESSELS ON COMPUTED TOMOGRAPHY IMAGES

Title (de)

AUTONOME SEGMENTIERUNG KONTRASTGEFÜLLTER KORONARGEFÄSSE AUF COMPUTERTOMOGRAPHIE-BILDERN

Title (fr)

SEGMENTATION AUTONOME DES VAISSEAUX DES ARTÈRES CORONAIRES REMPLIS DE PRODUIT DE CONTRASTE SUR DES IMAGES DE TOMOGRAPHIE ASSISTÉE PAR ORDINATEUR

Publication

EP 3726460 A1 20201021 (EN)

Application

EP 20177727 A 20200601

Priority

US 201962830441 P 20190406

Abstract (en)

A computer-implemented method for autonomous segmentation of contrast-filled coronary artery vessels, the method comprising the following steps: receiving (101) a CT scan volume representing a 3D volume of a region of anatomy that includes a pericardium; preprocessing (102) the CT scan volume to output a preprocessed scan volume; converting (103) the CT scan volume to three sets of two-dimensional slices, wherein the first set is arranged along the axial plane, the second set is arranged along the sagittal plane and the third set is arranged along the coronal plane; extracting (104) a region of interest (ROI) by by autonomous segmentation of the heart region as outlined by the pericardium, by means of three individually trained ROI extraction convolutional neural networks (CNN), each trained to process a particular one of the three sets of two-dimensional slices to output a mask denoting a heart region as delineated by the pericardium; combining (105) the preprocessed scan volume with the mask to obtain a masked volume; converting (106) the masked volume to three groups of sets of two-dimensional masked slices, wherein the first group is arranged along the axial plane, the second group is arranged along the sagittal plane and the third group is arranged along the coronal plane and each group includes at least three sets, wherein the first set corresponds to the principal plane of the set and at least two other sets are tilted with respect to the principal plane; and performing autonomous coronary vessel segmentation (107) by autonomous segmentation of the sets of the two-dimensional masked slices by means of three individually trained segmentation convolutional neural networks (CNN), each trained to process a particular one of the sets of the two-dimensional masked slices to output a mask denoting the coronary vessels.

IPC 8 full level

G06T 5/20 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01)

CPC (source: EP US)

A61B 6/032 (2013.01 - EP); A61B 6/481 (2013.01 - EP); A61B 6/503 (2013.01 - EP); A61B 6/504 (2013.01 - EP); A61B 6/5211 (2013.01 - EP); G06F 18/24143 (2023.01 - EP); G06N 3/08 (2013.01 - US); G06T 5/20 (2013.01 - EP); G06T 7/0012 (2013.01 - EP US); G06T 7/11 (2017.01 - EP US); G06T 11/005 (2013.01 - US); G06V 10/26 (2022.01 - EP US); G06V 10/454 (2022.01 - EP US); G06V 10/764 (2022.01 - EP US); G06V 10/82 (2022.01 - EP US); G06T 2207/20084 (2013.01 - EP); G06T 2207/30101 (2013.01 - EP); G06T 2211/404 (2013.01 - EP); G06T 2211/412 (2013.01 - US); G06V 2201/031 (2022.01 - EP)

Citation (applicant)

T. JERMAN ET AL., IEEE TRANSACTIONS ON MEDICAL IMAGING, vol. 35, no. 9, 2016, pages 2107 - 2118

Citation (search report)

  • [A] WO 2018222755 A1 20181206 - ARTERYS INC [US], et al
  • [A] US 2017258433 A1 20170914 - GULSUN MEHMET AKIF [US], et al
  • [A] KR 20160005256 A 20160114 - UNIV YONSEI IACF [KR]
  • [A] BLONDEL CHRISTOPHE ET AL: "Reconstruction of coronary arteries from a single rotational X-ray projection sequence", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, vol. 25, no. 5, May 2006 (2006-05-01), pages 653 - 663, XP002506502, ISSN: 0278-0062, DOI: 10.1109/TMI.2006.873224
  • [A] KITRUNGROTSAKUL TITINUNT ET AL: "Multi-pathways CNN for robust vascular segmentation", PROGRESS IN BIOMEDICAL OPTICS AND IMAGING, SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, BELLINGHAM, WA, US, vol. 10578, 12 March 2018 (2018-03-12), pages 105781S - 105781S, XP060105837, ISSN: 1605-7422, ISBN: 978-1-5106-0027-0, DOI: 10.1117/12.2293074

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

DOCDB simple family (publication)

EP 3726460 A1 20201021; EP 3726460 B1 20230823; US 11315293 B2 20220426; US 2020320751 A1 20201008

DOCDB simple family (application)

EP 20177727 A 20200601; US 202016895024 A 20200608